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Found 2 papers, 1 papers with code
A Deep-Learning Approach For Direct Whole-Heart Mesh Reconstruction
Furthermore, by deforming a template mesh, our method can generate whole heart geometries with better anatomical consistency and produce high-resolution geometries from lower resolution input image data.
Graph Neural Network for Hamiltonian-Based Material Property Prediction
Development of next-generation electronic devices for applications call for the discovery of quantum materials hosting novel electronic, magnetic, and topological properties.
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